I'm early in my career and self-taught, working on breaking into AI engineering, and I want one honest hour with someone actually in the trenches — not a sales pitch, not encouragement. Just a candid conversation, video on. What I'm after: your unvarnished read on how someone in my position actually breaks in, where the field is really headed, what companies are truly paying to have built or solved, and — if you were starting out today with what you know now — exactly what you'd do over the next 6 months. About me: no CS degree, no traditional pedigree — I've been learning by shipping real projects (I've built a couple of small live AI products end-to-end: RAG, an agent, automation). I know enough to ask good questions and I'll come prepared so we use the time well. I'd also love to show you one thing I built for 60 seconds of brutally honest feedback.

Need an expert to build custom software that connects multiple AI tools and creates AI bots within those systems. The solution should support seamless integration, bot creation, and learning capabilities. Please share relevant experience with AI software development, bot creation, and system integration.

About ZeremAI ZeremAI is a premier AI and Automation implementation consultancy that future-proofs businesses. We specialize in cutting-edge AI agents, intelligent systems automation, and real-time AI-assisted KPI dashboards across all business departments. Our "Align–Automate–Achieve" methodology bridges the gap between technology and measurable impact, helping teams reclaim up to five days of productivity weekly per employee, allowing organizations to focus on their core mission. Position Overview: We are looking for an AI Technical Account Manager who thrives at the intersection of systems architecture and client partnership. This role is for a high-presence communicator who takes pride and care about Customer Success and can translate complex AI and automation workflows into clear, actionable business wins and communicate them with the AI Development team. You are an AI Technical Account Manager at heart—someone who possesses the technical depth to design sophisticated systems but whose real superpower is leading the client relationship. You’ll be the face of our delivery team, ensuring our clients don't just get a tool, but a transformed business process they actually enjoy using. Key Performance Indicators (Success Metrics): -100% successful deployment rate of AI and automation solutions. -Ensure systems adoption success scores reach 95%+ -Increase customer productivity by 20% to 100%+ through AI automation. -Increase customer KPI achievement rate by 2x through intelligent dashboards. -Maintain 97% or higher customer satisfaction rating for solution delivery. Core Client Responsibilities: Strategic Client Leadership: - Relationship Management: Act as the primary technical point of contact, managing expectations and leading clients through the "Align–Automate–Achieve" journey with confidence. - High-Impact Communication: Lead discovery calls and project updates with clarity and brevity. You are the concise expert—getting to the point quickly and making complex concepts clear and simple to non-technical customers. - Client Success Orientation: Prioritize the "human" side of the implementation, ensuring the solution solves the client’s actual pain points rather than just being technically correct. Solution Architecture & Discovery: - Workflow Mapping: Conduct process audits to identify gaps and translate messy business problems into clean system requirements. - High-Level Design: Architect automation ecosystems using Make, Zapier, Airtable, HubSpot, and other systems, ensuring all pieces of the tech stack talk to each other seamlessly. - AI Integration: Leverage LLMs (OpenAI, Claude, etc.) to enhance productivity and build smarter business logic for clients. Delivery & Adoption: - Implementation Oversight: Work with the internal dev team to ensure the blueprints you designed are built to spec and delivered on time. - The Final 10%: Lead the hands-on training and documentation phase, ensuring the client’s team feels empowered and capable, not overwhelmed. - Iterative Optimization: Monitor performance post-launch and proactively suggest enhancements to deepen the client relationship. Key ZeremAI Operations Responsibilities: - Collaborate with the Chief AI Officer and Strategy Officer to evolve ZeremAI’s systems playbook. - Lead the evaluation and adoption of new AI technologies and platforms. - Ensure solution designs align with the Align–Automate–Achieve methodology. - Create internal system frameworks, templates, and automation best practices. - Mentor and collaborate with AI Systems Developers to maintain high-quality standards. - Analyze reporting on architecture performance, ROI metrics, and adoption rates. The Ideal Profile: Technical Fluency (The "How It Works" Knowledge): - Systems Thinker: You understand the Big Picture of how APIs, CRMs, and databases interact. You don’t need to be the world’s fastest coder, but you must be a world-class architect. - Automation Stack: Deep familiarity with CRM, Project Management, Integration, and AI tools. - AI Expert: A solid grasp of how to practically apply AI/LLMs to business workflows. The Superpowers (Client & Communication): - Professional Presence: You carry yourself with a demeanor that builds immediate trust. You are concise, articulate, and mindful of the client’s time. - Concise Communicator: You avoid the Solution Architect Trap of over-explaining. You know how to give a "Yes/No" or a "Bottom Line Up Front" (BLUF). - Leadership: You can guide, educate, and—when necessary—firmly pivot a client toward a better strategic path. Qualifications: Required Skills & Experience - 5+ years of experience in systems consulting, operations, business automation, or a similar role. - 2+ years of AI expertise in a business context - Strong hands-on experience with automation tools (JSON, Zapier, Make, Airtable, etc.) and system integrations. - Working knowledge of project management and CRM platforms (e.g., Monday.com, HubSpot, Salesforce). - Familiarity with API usage, data flows, and basic scripting or logic-based automation. - Excellent problem-solving and process-mapping skills. - Clear written and verbal communication, especially with non-technical stakeholders. - Strong client-facing presence with the ability to guide, educate, and influence clients. Preferred Qualifications: - Experience in a fast-paced startup or agency environment. - Exposure to AI tools and understanding of their application in business settings. - Technical certifications in automation platforms (Zapier Expert, Make Partner, etc.). - Understanding of business functions like marketing, sales, operations, and finance. Soft Skills: - Demonstrate creativity in problem-solving by identifying innovative solutions to client challenges and operational obstacles. - Systems thinker with a knack for breaking down complex problems. - Highly organized, self-motivated, and able to manage multiple client projects simultaneously. - Collaborative team player who thrives in a remote-first work environment. - Passionate about technology, continuous improvement, and client success.

-$150K Salary with Healthcare benefits, W2 applicants ONLY. -Must be U.S. Citizen -Remote role in U.S. with 25% travel to client sites Show me your best work as a Forward Deployed AI Engineer (FDE) by showing me: a) how you approach enterprise clients' complexities ($1B+ revenue businesses)** experience is a must with enterprise b) your technical fluency across data, tech, AI c) your people skills d) how you break down business processes e) experience around customer experience work preferred** Claude Certified Architects, Codex, and all other LLMs/AI engineering tools Only interviewing serious candidates looking for full-time work. No agencies, or LLCs/s-corps.... only FTEs W2. ex-Big 4, Big Tech Preferred candidates will get interviews first. Applicants that use AI slop to apply won't be considered.

Type: Hourly, ongoing (part-time to full-time, room to grow) Stack you'll work in: Notion, Slack, HubSpot, Google Workspace/Gmail, Claude + other LLM APIs, Zapier/Make/n8n About us We're a fast-moving sports and fan-engagement startup. We're small, we ship quickly, and we want AI woven into how the whole company operates, not as a side experiment, but as the default way we work. You'd be the person who makes that real. What you'll do Map our current workflows across sales, marketing, ops, and content, then find the highest-leverage places to automate. Build automations and agent workflows that connect our tools (Notion, Slack, HubSpot, Gmail/Google Workspace) using platforms like Zapier, Make, or n8n plus LLM APIs. Design and ship AI agents for real jobs: lead routing and CRM enrichment, content drafting, customer/fan response triage, internal knowledge search, reporting digests. Stand up the connective tissue (prompts, integrations, guardrails, and monitoring) so automations are reliable, not brittle demos. Train and enable our team: build SOPs, run working sessions, and create lightweight docs so non-technical people actually adopt what you build. Help set our AI strategy and roadmap as we scale. You're a strong fit if you Have shipped real automations and AI agent workflows in production (not just prototypes). Are fluent with Zapier / Make / n8n and at least one major LLM API (Anthropic/Claude, OpenAI). Know your way around HubSpot, Notion, Slack, and Google Workspace integrations and APIs. Can write clean prompts and think in systems: edge cases, error handling, human-in-the-loop checkpoints. Can explain technical work to non-technical people and get them to adopt it. Communicate proactively and move fast without breaking trust on things that touch customers or revenue. Nice to have Experience taking a small company "AI-native" end to end. Background in sports and/or blockchain. Comfort with light scripting (Python/JS) when no-code hits its limits. How to apply In your proposal, please: Describe one AI agent or automation you built, the tools involved, and the measurable result. Tell us how you'd approach training a non-technical team to actually use what you build. This part matters as much as the build. Share your hourly rate and weekly availability. Proposals that skip these will be passed over. We're looking to start with a small paid task and grow the engagement from there.

WHO WE ARE InCon Process Systems designs, fabricates, pilots, and supports wiped-film and short-path distillation systems. We are a specialty manufacturer in the western Chicago suburbs with about seven employees. The company is engineering-heavy and we have no dedicated IT department. Our team already uses Claude in the browser and is comfortable with it. We are not starting from scratch, and we are not looking for someone to explain what AI is. WHAT WE WANT Two things, in this order. First, expand what our team can do — we want our people using AI across more of their daily work and using it well. Second, move reliable work off people's plates. Where the tool can handle something dependably, it should. Where the work takes judgment, our people keep it. One measure we'd use six months out: fewer customer inquiries sitting too long before someone responds. PHASE 1 (about one month) 1. Configure Claude connectors for Gmail, Google Calendar, and Slack. Slack scoped by explicit allow-list of channels, not a deny-list. One channel excluded. 2. Build a recurring Project Status and Action Summary. Open items and completed items over a trailing one to two weeks, plus upcoming meetings with context on what each concerns. It should track what we owe others and what others owe us, identify likely owners, and flag unanswered customer inquiries, stalled work, and emerging risks. Uncertain conclusions should be separated from established ones. Important: we have no project management system, no CRM, and no tracking software. Project status currently lives spread across email, Slack, and people's heads. The digest is not summarizing a list that already exists — it has to build the project picture out of ordinary communication. That is the point of it, and it is the difficult part. 3. Role-based visibility. Each user gets a personalized view of the work they're involved with, delivered by Slack DM. A single company-wide summary for everyone is not sufficient. CEO and President get company-wide visibility and should be able to ask cross-company questions on demand — what's behind, what's due, what we're waiting on, what looks at risk. 4. Where the system identifies work needing attention and has enough context, it should prepare a next step for human review — a follow-up, an acknowledgment, a request for missing information. Nothing sends or changes anything externally without our review and approval. If information is insufficient, say what's missing rather than inventing an answer. 5. Discovery interviews with our users, one at a time. Not as a group, not through a single point of contact. We want you to understand what we do well enough to suggest things we haven't thought of. This is paid work, not part of your pitch. 6. Training and a written runbook. Our people are technically capable and learn quickly — teach the architecture, not button-clicking. Our internal IT staffer needs enough to handle first-line questions, but is not taking ownership of this system. 7. A written recommendations document for what we should do next. This carries real weight in how we evaluate the engagement. OUT OF SCOPE FOR PHASE 1 Standalone quotation drafting. Meeting capture and transcription (note: meeting outcomes later documented in Gmail or Slack are in scope). Dropbox and local file integration. Automation platform work — n8n, Make, Zapier. Chatbots, voice agents, customer-facing deployments, software development. Everyday writing help — someone asking Claude to tighten an email — is ordinary use of the tool. That needs training, not development. Please don't quote build hours for it. THE ONGOING ROLE — READ THIS This matters more than the build in deciding fit. We want someone who checks in regularly with our users to hear what they're doing, what they want to do, and what they could be doing better, and turns that into improvements. Monthly to start, with a strong expectation of at least six months following Phase 1. We don't think an internal non-specialist can do this. The technology keeps changing and staying current is somebody's job. If your strength is implementation and your interest ends at handoff, we're probably not a good match. The build is the way in. The ongoing cycle of listening and improving is the work. OUR ENVIRONMENT Windows. Gmail is our system of record. Slack with 10 to 20 active channels. Four-seat license pack, likely growing to five or six users. Documents in Dropbox with some local storage (outside Phase 1). No project tracking in place. WORKING ARRANGEMENTS Remote work on our systems with real content, under a named account we provision and can revoke. NDA signed before any data access — our agreement, not the platform default. All material returned or deleted at close unless a continuing agreement is in place. Someone local to Chicago is a mild preference, not a requirement. HOW TO PROPOSE Give us an hourly rate and an estimate of hours broken out across the deliverables above. We'll work not-to-exceed against that estimate. Include your proposed structure and rate for ongoing monthly support. Please do not send a single lump sum. We want to see where the hours go.

We are looking for an experienced Full-Stack AI Developer to build and improve modern AI-powered web applications. The ideal candidate should have strong experience in frontend and backend development, AI integrations, LLMs, LangChain, RAG pipelines, vector databases, APIs and scalable system architecture. Required Skills: * React.js, Next.js and TypeScript * Node.js and Python * LangChain, LLMs and RAG * OpenAI, Claude or similar AI APIs * Vector databases such as Pinecone, Qdrant or Weaviate * REST APIs, databases and third-party integrations * Strong knowledge of software architecture and clean code * Experience with Claude Code, Cursor or similar AI development tools * Excellent English communication and problem-solving skills Please share your GitHub profile, relevant AI projects and a short Loom video explaining one live Full-Stack AI application you have built.

Lead the technical buildout and implementation of a company-wide AI and automation pivot across our real estate organization. You will work directly with ownership and leadership to identify where AI, automation, integrations, and better systems can reduce manual work, improve communication, increase accountability, and create more efficient workflows across sales, operations, marketing, administration, recruiting, training, transaction management, and lead management. The goal is not simply to introduce AI tools. The goal is to operationalize them into the way the company actually works.

We are seeking an Expert AI Automation Developer to design and implement a practical AI-enabled workflow that integrates with our existing Microsoft Excel and Access systems. Our current business processes rely on Excel workbooks, Access databases, VBA code, and structured operational data. We have already identified opportunities and a road map where AI could reduce manual work, improve data processing, and support better decision-making. The selected freelancer will be responsible for converting one of these opportunities into a reliable, production-ready solution. This is an implementation-focused engagement. We are not looking for a high-level AI strategy report or a generic chatbot. We need someone who can understand an existing business process, design the technical architecture, write the required code, integrate appropriate AI models or APIs, complete thorough testing, and deliver a maintainable automation system. Required Qualifications The ideal freelancer should have demonstrated experience with: 1. Microsoft Excel and Access automation 2. VBA development 3. AI model and API integration 4. Claude (Anthropic), ChatGPT (OpenAI), or comparable AI platforms 5. Structured AI prompting and reliable output generation 6. JSON parsing and API request handling 7. Relational databases and SQL 8. Workflow automation and business-process analysis Proposal Requirements Please include the following in your proposal: 1. Describe at least one project where you implemented AI automation for a business process and what the results of the project were. 2. The AI tools you would use for a project like this. 3. Your experience level with Excel, Access, and VBA

Seeking an experienced PyTorch engineer with strong knowledge of transformer internals to help implement a model-specific runtime intervention module within an existing supervisory architecture. The core architecture, evaluator, control logic, interfaces, and project structure are already implemented. This engagement focuses on implementing and validating the actuator layer that translates neutral control directives into model-specific residual-stream operations.